Results 51 to 60 of about 109,180 (287)
Comparative Study between Rectangular Windows and Circular Windows Based Disparity-Map by Stereo Matching [PDF]
, 2016 Stereo matching is the basic problem to achieve human like vision capability to machines and robots. Stereo vision researches produced many local and global algorithms for stereo correspondence matching.
Pratap, M. V. (Mr) +2 more
core +1 more source
Metachromatic Butterfly Bile Pigments for Multi‐Level Optical Security Films
Advanced Functional Materials, EarlyView.Bio‐derived optical security materials are manufactured by embedding butterfly‐based pigments in polymer films. Tunable color and fluorescence responses arise from concentration‐controlled metachromasy, enabling spatially encoded patterns with distinct visible, UV‐active, and spectral signatures.
Limin Wang, Bodo D. Wilts
wiley +1 more source
A Method for Adapting Stereo Matching Algorithms to Real Environments
Applied SciencesThis study challenges the commonly used testbeds and benchmarks for testing stereo matching algorithms. Although the algorithms listed in the rankings based on these testbeds score exceptionally high, stereo matching technology still suffers from major ...
Adam L. Kaczmarek
doaj +1 more source
Modified Adaptive Support Weight for Stereo Matching
Communications in Science and Technology, 2017 Local stereo matching algorithms are very popular in the recent years. The adaptive support weight algorithms can give high accuracy results such as global methods.
Etik Irijanti
doaj +1 more source
HYBRID-BASED DENSE STEREO MATCHING [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016 Stereo matching generating accurate and dense disparity maps is an indispensable technique for 3D exploitation of imagery in the fields of Computer vision and Photogrammetry.
T. Y. Chuang, H. W. Ting, J. J. Jaw
doaj +1 more source
Improved Depth Map Estimation from Stereo Images based on Hybrid Method [PDF]
, 2012 In this paper, a stereo matching algorithm based on image segments is presented. We propose the hybrid segmentation algorithm that is based on a combination of the Belief Propagation and Mean Shift algorithms with aim to refine the disparity and depth ...
Breznan, M. +4 more
core +1 more source
Entropy-difference based stereo error detection
, 2017 Stereo depth estimation is error-prone; hence, effective error detection methods are desirable. Most such existing methods depend on characteristics of the stereo matching cost curve, making them unduly dependent on functional details of the matching ...
Basu, Anup +3 more
core +1 more source
Stereo Matching in the Presence of Sub-Pixel Calibration Errors [PDF]
, 2009 Stereo matching commonly requires rectified images that are computed from calibrated cameras. Since all under-lying parametric camera models are only approximations, calibration and rectification will never be perfect.
Gehrig, Stefan, Hirschmüller, Heiko
core +1 more source
Liquids as Reinforcements for Anisotropic and Tough Soft Matter Composites
Advanced Materials, EarlyView.Liquid metal droplets are shaped and oriented within soft elastomers to create all‐soft matter composites with programmable mechanical anisotropy. These liquid inclusions act as fiber‐like reinforcements, enabling directional stiffness, enhanced toughness, and controlled crack steering under extreme deformation, offering new routes to resilient soft ...
Gwyneth M. Schloer +5 more
wiley +1 more source
A Unified Framework for Depth Prediction from a Single Image and Binocular Stereo Matching
Remote Sensing, 2020 Depth information has long been an important issue in computer vision. The methods for this can be categorized into (1) depth prediction from a single image and (2) binocular stereo matching.
Wei Chen +6 more
doaj +1 more source